This notebook includes code and visualizations to test, debug, and evaluate the Mask R-CNN model.
import os
import sys
import numpy as np
import tensorflow as tf
import matplotlib
import matplotlib.pyplot as plt
import keras
# Root directory of the project
ROOT_DIR = os.path.abspath("../../")
# Import Mask RCNN
sys.path.append(ROOT_DIR) # To find local version of the library
from mrcnn import utils
import mrcnn.model as modellib
from mrcnn import visualize
from mrcnn.model import log
%matplotlib inline
# # Directory to save logs and trained model
MODEL_DIR = os.path.join(ROOT_DIR, "logs")
# Run one of the code blocks
# Shapes toy dataset
# import shapes
# config = shapes.ShapesConfig()
# MS COCO Dataset
import custom
config = custom.CustomConfig()
# Device to load the neural network on.
# Useful if you're training a model on the same
# machine, in which case use CPU and leave the
# GPU for training.
DEVICE = "/cpu:0" # /cpu:0 or /gpu:0
def get_ax(rows=1, cols=1, size=16):
"""Return a Matplotlib Axes array to be used in
all visualizations in the notebook. Provide a
central point to control graph sizes.
Adjust the size attribute to control how big to render images
"""
_, ax = plt.subplots(rows, cols, figsize=(size*cols, size*rows))
return ax
# Create model in inference mode
with tf.device(DEVICE):
model = modellib.MaskRCNN(mode="inference", model_dir=MODEL_DIR,
config=config)
# Load weights
weights_path = 'mask_rcnn_damage_0010.h5'
# Load weights
print("Loading weights ", weights_path)
model.load_weights(weights_path, by_name=True)
Loading weights mask_rcnn_damage_0010.h5
# Show stats of all trainable weights
visualize.display_weight_stats(model)
WEIGHT NAME | SHAPE | MIN | MAX | STD |
conv1/kernel:0 | (7, 7, 3, 64) | -0.8616 | +0.8451 | +0.1315 |
conv1/bias:0 | (64,) | -0.0002 | +0.0004 | +0.0001 |
bn_conv1/gamma:0 | (64,) | +0.0835 | +2.6411 | +0.5091 |
bn_conv1/beta:0 | (64,) | -2.3931 | +5.3610 | +1.9781 |
bn_conv1/moving_mean:0 | (64,) | -173.0470 | +116.3013 | +44.5654 |
bn_conv1/moving_variance:0*** Overflow? | (64,) | +0.0000 | +146335.3594 | +21847.9668 |
res2a_branch2a/kernel:0 | (1, 1, 64, 64) | -0.6574 | +0.3179 | +0.0764 |
res2a_branch2a/bias:0 | (64,) | -0.0022 | +0.0082 | +0.0018 |
bn2a_branch2a/gamma:0 | (64,) | +0.2169 | +1.8489 | +0.4116 |
bn2a_branch2a/beta:0 | (64,) | -2.1180 | +3.7332 | +1.1786 |
bn2a_branch2a/moving_mean:0 | (64,) | -6.1235 | +7.2220 | +2.2789 |
bn2a_branch2a/moving_variance:0 | (64,) | +0.0000 | +8.9258 | +2.0314 |
res2a_branch2b/kernel:0 | (3, 3, 64, 64) | -0.3878 | +0.5070 | +0.0323 |
res2a_branch2b/bias:0 | (64,) | -0.0037 | +0.0026 | +0.0010 |
bn2a_branch2b/gamma:0 | (64,) | +0.3165 | +1.7010 | +0.3042 |
bn2a_branch2b/beta:0 | (64,) | -1.9348 | +4.5429 | +1.5113 |
bn2a_branch2b/moving_mean:0 | (64,) | -6.7752 | +4.5769 | +2.2594 |
bn2a_branch2b/moving_variance:0 | (64,) | +0.0000 | +5.5085 | +1.0835 |
res2a_branch2c/kernel:0 | (1, 1, 64, 256) | -0.4468 | +0.3615 | +0.0410 |
res2a_branch2c/bias:0 | (256,) | -0.0041 | +0.0052 | +0.0016 |
res2a_branch1/kernel:0 | (1, 1, 64, 256) | -0.8674 | +0.7588 | +0.0703 |
res2a_branch1/bias:0 | (256,) | -0.0034 | +0.0025 | +0.0009 |
bn2a_branch2c/gamma:0 | (256,) | -0.5782 | +3.1806 | +0.6192 |
bn2a_branch2c/beta:0 | (256,) | -1.1422 | +1.4273 | +0.4229 |
bn2a_branch2c/moving_mean:0 | (256,) | -4.2602 | +3.0864 | +1.0168 |
bn2a_branch2c/moving_variance:0 | (256,) | +0.0000 | +2.6688 | +0.3827 |
bn2a_branch1/gamma:0 | (256,) | +0.2411 | +3.4973 | +0.6241 |
bn2a_branch1/beta:0 | (256,) | -1.1422 | +1.4274 | +0.4229 |
bn2a_branch1/moving_mean:0 | (256,) | -8.0883 | +8.6554 | +2.0289 |
bn2a_branch1/moving_variance:0 | (256,) | +0.0000 | +8.7306 | +1.5526 |
res2b_branch2a/kernel:0 | (1, 1, 256, 64) | -0.2536 | +0.2319 | +0.0358 |
res2b_branch2a/bias:0 | (64,) | -0.0027 | +0.0028 | +0.0012 |
bn2b_branch2a/gamma:0 | (64,) | +0.2032 | +1.7708 | +0.3812 |
bn2b_branch2a/beta:0 | (64,) | -2.0546 | +1.6670 | +0.8851 |
bn2b_branch2a/moving_mean:0 | (64,) | -1.5484 | +1.7334 | +0.7177 |
bn2b_branch2a/moving_variance:0 | (64,) | +0.0000 | +2.7921 | +0.7575 |
res2b_branch2b/kernel:0 | (3, 3, 64, 64) | -0.5226 | +0.3397 | +0.0356 |
res2b_branch2b/bias:0 | (64,) | -0.0047 | +0.0033 | +0.0015 |
bn2b_branch2b/gamma:0 | (64,) | +0.5213 | +1.4725 | +0.2252 |
bn2b_branch2b/beta:0 | (64,) | -2.4533 | +2.7526 | +1.1960 |
bn2b_branch2b/moving_mean:0 | (64,) | -1.8186 | +0.8886 | +0.5529 |
bn2b_branch2b/moving_variance:0 | (64,) | +0.0808 | +1.1064 | +0.2187 |
res2b_branch2c/kernel:0 | (1, 1, 64, 256) | -0.3382 | +0.3298 | +0.0415 |
res2b_branch2c/bias:0 | (256,) | -0.0075 | +0.0103 | +0.0020 |
bn2b_branch2c/gamma:0 | (256,) | -0.0363 | +1.7920 | +0.4227 |
bn2b_branch2c/beta:0 | (256,) | -1.2938 | +0.9636 | +0.3430 |
bn2b_branch2c/moving_mean:0 | (256,) | -2.4192 | +2.0440 | +0.5019 |
bn2b_branch2c/moving_variance:0 | (256,) | +0.0000 | +0.1844 | +0.0315 |
res2c_branch2a/kernel:0 | (1, 1, 256, 64) | -0.3012 | +0.2199 | +0.0415 |
res2c_branch2a/bias:0 | (64,) | -0.0009 | +0.0024 | +0.0008 |
bn2c_branch2a/gamma:0 | (64,) | +0.2659 | +1.8204 | +0.2834 |
bn2c_branch2a/beta:0 | (64,) | -2.0168 | +0.8445 | +0.7879 |
bn2c_branch2a/moving_mean:0 | (64,) | -4.5208 | +1.6091 | +1.2391 |
bn2c_branch2a/moving_variance:0 | (64,) | +0.0000 | +3.4581 | +0.7942 |
res2c_branch2b/kernel:0 | (3, 3, 64, 64) | -0.2007 | +0.2176 | +0.0378 |
res2c_branch2b/bias:0 | (64,) | -0.0030 | +0.0058 | +0.0018 |
bn2c_branch2b/gamma:0 | (64,) | +0.6267 | +1.5415 | +0.2137 |
bn2c_branch2b/beta:0 | (64,) | -2.4090 | +1.8192 | +0.6302 |
bn2c_branch2b/moving_mean:0 | (64,) | -1.4737 | +0.0594 | +0.2559 |
bn2c_branch2b/moving_variance:0 | (64,) | +0.2314 | +2.1085 | +0.3072 |
res2c_branch2c/kernel:0 | (1, 1, 64, 256) | -0.2935 | +0.2596 | +0.0434 |
res2c_branch2c/bias:0 | (256,) | -0.0041 | +0.0184 | +0.0029 |
bn2c_branch2c/gamma:0 | (256,) | -0.0217 | +2.3695 | +0.5250 |
bn2c_branch2c/beta:0 | (256,) | -1.6829 | +1.0992 | +0.4280 |
bn2c_branch2c/moving_mean:0 | (256,) | -1.2568 | +0.7135 | +0.2851 |
bn2c_branch2c/moving_variance:0 | (256,) | +0.0010 | +0.5712 | +0.0975 |
res3a_branch2a/kernel:0 | (1, 1, 256, 128) | -0.4997 | +0.6191 | +0.0305 |
res3a_branch2a/bias:0 | (128,) | -0.0025 | +0.0020 | +0.0009 |
bn3a_branch2a/gamma:0 | (128,) | +0.4899 | +1.3306 | +0.1884 |
bn3a_branch2a/beta:0 | (128,) | -1.8391 | +2.5643 | +0.7573 |
bn3a_branch2a/moving_mean:0 | (128,) | -4.0452 | +1.7707 | +0.8690 |
bn3a_branch2a/moving_variance:0 | (128,) | +0.0620 | +7.9964 | +1.2851 |
res3a_branch2b/kernel:0 | (3, 3, 128, 128) | -0.3225 | +0.4509 | +0.0223 |
res3a_branch2b/bias:0 | (128,) | -0.0011 | +0.0019 | +0.0006 |
bn3a_branch2b/gamma:0 | (128,) | +0.4666 | +1.8240 | +0.2182 |
bn3a_branch2b/beta:0 | (128,) | -1.9434 | +1.8963 | +0.7859 |
bn3a_branch2b/moving_mean:0 | (128,) | -5.8993 | +3.3426 | +2.0065 |
bn3a_branch2b/moving_variance:0 | (128,) | +0.0001 | +6.9908 | +0.9404 |
res3a_branch2c/kernel:0 | (1, 1, 128, 512) | -0.4949 | +0.3345 | +0.0283 |
res3a_branch2c/bias:0 | (512,) | -0.0063 | +0.0078 | +0.0013 |
res3a_branch1/kernel:0 | (1, 1, 256, 512) | -0.4556 | +0.6877 | +0.0290 |
res3a_branch1/bias:0 | (512,) | -0.0055 | +0.0039 | +0.0008 |
bn3a_branch2c/gamma:0 | (512,) | -0.0039 | +3.7005 | +0.6168 |
bn3a_branch2c/beta:0 | (512,) | -0.9616 | +1.4438 | +0.3693 |
bn3a_branch2c/moving_mean:0 | (512,) | -1.6188 | +1.3639 | +0.3736 |
bn3a_branch2c/moving_variance:0 | (512,) | +0.0002 | +0.9085 | +0.1065 |
bn3a_branch1/gamma:0 | (512,) | -0.0158 | +2.6945 | +0.4766 |
bn3a_branch1/beta:0 | (512,) | -0.9616 | +1.4437 | +0.3693 |
bn3a_branch1/moving_mean:0 | (512,) | -3.5990 | +2.8529 | +0.7936 |
bn3a_branch1/moving_variance:0 | (512,) | +0.0030 | +6.5634 | +0.6189 |
res3b_branch2a/kernel:0 | (1, 1, 512, 128) | -0.2015 | +0.1914 | +0.0252 |
res3b_branch2a/bias:0 | (128,) | -0.0015 | +0.0020 | +0.0008 |
bn3b_branch2a/gamma:0 | (128,) | +0.5928 | +1.5316 | +0.1783 |
bn3b_branch2a/beta:0 | (128,) | -3.9542 | +0.6799 | +0.6433 |
bn3b_branch2a/moving_mean:0 | (128,) | -2.6765 | +1.1148 | +0.6228 |
bn3b_branch2a/moving_variance:0 | (128,) | +0.2431 | +3.5601 | +0.5766 |
res3b_branch2b/kernel:0 | (3, 3, 128, 128) | -0.2265 | +0.2805 | +0.0240 |
res3b_branch2b/bias:0 | (128,) | -0.0027 | +0.0051 | +0.0013 |
bn3b_branch2b/gamma:0 | (128,) | +0.4900 | +1.4915 | +0.2334 |
bn3b_branch2b/beta:0 | (128,) | -2.4206 | +1.4218 | +0.6774 |
bn3b_branch2b/moving_mean:0 | (128,) | -2.1795 | +1.2802 | +0.4907 |
bn3b_branch2b/moving_variance:0 | (128,) | +0.0892 | +1.4424 | +0.2128 |
res3b_branch2c/kernel:0 | (1, 1, 128, 512) | -0.3113 | +0.4752 | +0.0289 |
res3b_branch2c/bias:0 | (512,) | -0.0061 | +0.0141 | +0.0020 |
bn3b_branch2c/gamma:0 | (512,) | -0.0431 | +2.0087 | +0.4044 |
bn3b_branch2c/beta:0 | (512,) | -1.5772 | +1.1600 | +0.3742 |
bn3b_branch2c/moving_mean:0 | (512,) | -1.0651 | +0.6899 | +0.2256 |
bn3b_branch2c/moving_variance:0 | (512,) | +0.0002 | +0.1858 | +0.0288 |
res3c_branch2a/kernel:0 | (1, 1, 512, 128) | -0.2672 | +0.2625 | +0.0284 |
res3c_branch2a/bias:0 | (128,) | -0.0017 | +0.0035 | +0.0008 |
bn3c_branch2a/gamma:0 | (128,) | +0.5933 | +1.4906 | +0.1891 |
bn3c_branch2a/beta:0 | (128,) | -2.8070 | +0.7289 | +0.5408 |
bn3c_branch2a/moving_mean:0 | (128,) | -3.0308 | +1.6105 | +0.8393 |
bn3c_branch2a/moving_variance:0 | (128,) | +0.2414 | +4.0907 | +0.8334 |
res3c_branch2b/kernel:0 | (3, 3, 128, 128) | -0.2250 | +0.2017 | +0.0233 |
res3c_branch2b/bias:0 | (128,) | -0.0055 | +0.0081 | +0.0022 |
bn3c_branch2b/gamma:0 | (128,) | +0.4480 | +1.5784 | +0.2838 |
bn3c_branch2b/beta:0 | (128,) | -1.4159 | +1.3200 | +0.5555 |
bn3c_branch2b/moving_mean:0 | (128,) | -1.0064 | +0.5542 | +0.2663 |
bn3c_branch2b/moving_variance:0 | (128,) | +0.1152 | +0.8630 | +0.1393 |
res3c_branch2c/kernel:0 | (1, 1, 128, 512) | -0.3069 | +0.3883 | +0.0264 |
res3c_branch2c/bias:0 | (512,) | -0.0075 | +0.0120 | +0.0020 |
bn3c_branch2c/gamma:0 | (512,) | -0.0409 | +1.8960 | +0.3768 |
bn3c_branch2c/beta:0 | (512,) | -1.5428 | +0.8270 | +0.3608 |
bn3c_branch2c/moving_mean:0 | (512,) | -0.8480 | +0.7275 | +0.1809 |
bn3c_branch2c/moving_variance:0 | (512,) | +0.0002 | +0.1614 | +0.0254 |
res3d_branch2a/kernel:0 | (1, 1, 512, 128) | -0.2583 | +0.2893 | +0.0306 |
res3d_branch2a/bias:0 | (128,) | -0.0014 | +0.0018 | +0.0007 |
bn3d_branch2a/gamma:0 | (128,) | +0.6395 | +1.4617 | +0.1923 |
bn3d_branch2a/beta:0 | (128,) | -2.9768 | +0.6138 | +0.6397 |
bn3d_branch2a/moving_mean:0 | (128,) | -3.4373 | +2.0843 | +0.9585 |
bn3d_branch2a/moving_variance:0 | (128,) | +0.0032 | +3.2415 | +0.5276 |
res3d_branch2b/kernel:0 | (3, 3, 128, 128) | -0.1592 | +0.2480 | +0.0237 |
res3d_branch2b/bias:0 | (128,) | -0.0025 | +0.0062 | +0.0017 |
bn3d_branch2b/gamma:0 | (128,) | +0.6485 | +3.2665 | +0.2892 |
bn3d_branch2b/beta:0 | (128,) | -1.6517 | +1.5628 | +0.5605 |
bn3d_branch2b/moving_mean:0 | (128,) | -0.9797 | +0.3526 | +0.2822 |
bn3d_branch2b/moving_variance:0 | (128,) | +0.2176 | +1.4907 | +0.1816 |
res3d_branch2c/kernel:0 | (1, 1, 128, 512) | -0.2404 | +0.3462 | +0.0271 |
res3d_branch2c/bias:0 | (512,) | -0.0042 | +0.0048 | +0.0015 |
bn3d_branch2c/gamma:0 | (512,) | -0.0272 | +1.9218 | +0.5163 |
bn3d_branch2c/beta:0 | (512,) | -1.0555 | +0.9748 | +0.2711 |
bn3d_branch2c/moving_mean:0 | (512,) | -1.1079 | +0.4287 | +0.2314 |
bn3d_branch2c/moving_variance:0 | (512,) | +0.0002 | +0.3496 | +0.0543 |
res4a_branch2a/kernel:0 | (1, 1, 512, 256) | -0.2763 | +0.2629 | +0.0150 |
res4a_branch2a/bias:0 | (256,) | -0.0012 | +0.0013 | +0.0004 |
bn4a_branch2a/gamma:0 | (256,) | +0.4785 | +1.4612 | +0.1493 |
bn4a_branch2a/beta:0 | (256,) | -1.9415 | +1.1200 | +0.3882 |
bn4a_branch2a/moving_mean:0 | (256,) | -3.8936 | +1.1756 | +0.6395 |
bn4a_branch2a/moving_variance:0 | (256,) | +0.0515 | +2.6553 | +0.2808 |
res4a_branch2b/kernel:0 | (3, 3, 256, 256) | -0.1716 | +0.1965 | +0.0106 |
res4a_branch2b/bias:0 | (256,) | -0.0033 | +0.0037 | +0.0007 |
bn4a_branch2b/gamma:0 | (256,) | +0.4768 | +1.5810 | +0.1980 |
bn4a_branch2b/beta:0 | (256,) | -2.5978 | +1.1149 | +0.4805 |
bn4a_branch2b/moving_mean:0 | (256,) | -2.7021 | +2.6603 | +0.5277 |
bn4a_branch2b/moving_variance:0 | (256,) | +0.1003 | +1.1930 | +0.1722 |
res4a_branch2c/kernel:0 | (1, 1, 256, 1024) | -0.2861 | +0.1943 | +0.0141 |
res4a_branch2c/bias:0 | (1024,) | -0.0049 | +0.0115 | +0.0012 |
res4a_branch1/kernel:0 | (1, 1, 512, 1024) | -0.3615 | +0.3428 | +0.0159 |
res4a_branch1/bias:0 | (1024,) | -0.0015 | +0.0015 | +0.0004 |
bn4a_branch2c/gamma:0 | (1024,) | -0.0104 | +2.8173 | +0.4544 |
bn4a_branch2c/beta:0 | (1024,) | -0.5242 | +2.0439 | +0.2862 |
bn4a_branch2c/moving_mean:0 | (1024,) | -0.4020 | +0.2339 | +0.0729 |
bn4a_branch2c/moving_variance:0 | (1024,) | +0.0000 | +0.1119 | +0.0107 |
bn4a_branch1/gamma:0 | (1024,) | +0.1723 | +3.9846 | +0.7125 |
bn4a_branch1/beta:0 | (1024,) | -0.5242 | +2.0441 | +0.2862 |
bn4a_branch1/moving_mean:0 | (1024,) | -4.9091 | +2.9439 | +0.7998 |
bn4a_branch1/moving_variance:0 | (1024,) | +0.0413 | +6.4599 | +0.5613 |
res4b_branch2a/kernel:0 | (1, 1, 1024, 256) | -0.1251 | +0.1742 | +0.0082 |
res4b_branch2a/bias:0 | (256,) | -0.0007 | +0.0006 | +0.0002 |
bn4b_branch2a/gamma:0 | (256,) | +0.4161 | +1.5930 | +0.1866 |
bn4b_branch2a/beta:0 | (256,) | -2.2049 | +2.0415 | +0.4853 |
bn4b_branch2a/moving_mean:0 | (256,) | -3.9798 | +2.5647 | +0.9971 |
bn4b_branch2a/moving_variance:0 | (256,) | +0.1146 | +9.1091 | +1.1798 |
res4b_branch2b/kernel:0 | (3, 3, 256, 256) | -0.0968 | +0.1622 | +0.0073 |
res4b_branch2b/bias:0 | (256,) | -0.0022 | +0.0018 | +0.0006 |
bn4b_branch2b/gamma:0 | (256,) | +0.4992 | +1.4646 | +0.1878 |
bn4b_branch2b/beta:0 | (256,) | -1.6821 | +0.5865 | +0.4319 |
bn4b_branch2b/moving_mean:0 | (256,) | -5.5636 | +1.5920 | +0.8391 |
bn4b_branch2b/moving_variance:0 | (256,) | +0.0140 | +1.2341 | +0.1852 |
res4b_branch2c/kernel:0 | (1, 1, 256, 1024) | -0.2025 | +0.2962 | +0.0104 |
res4b_branch2c/bias:0 | (1024,) | -0.0057 | +0.0110 | +0.0017 |
bn4b_branch2c/gamma:0 | (1024,) | -0.0006 | +3.1556 | +0.3625 |
bn4b_branch2c/beta:0 | (1024,) | -1.0586 | +0.9457 | +0.1802 |
bn4b_branch2c/moving_mean:0 | (1024,) | -0.3958 | +0.3607 | +0.0831 |
bn4b_branch2c/moving_variance:0 | (1024,) | +0.0000 | +0.1685 | +0.0150 |
res4c_branch2a/kernel:0 | (1, 1, 1024, 256) | -0.1010 | +0.1236 | +0.0083 |
res4c_branch2a/bias:0 | (256,) | -0.0006 | +0.0006 | +0.0002 |
bn4c_branch2a/gamma:0 | (256,) | +0.5716 | +1.7534 | +0.1407 |
bn4c_branch2a/beta:0 | (256,) | -0.9249 | +1.3189 | +0.3732 |
bn4c_branch2a/moving_mean:0 | (256,) | -3.9561 | +1.9207 | +1.0270 |
bn4c_branch2a/moving_variance:0 | (256,) | +0.2736 | +4.1165 | +0.5892 |
res4c_branch2b/kernel:0 | (3, 3, 256, 256) | -0.1008 | +0.1099 | +0.0075 |
res4c_branch2b/bias:0 | (256,) | -0.0015 | +0.0021 | +0.0005 |
bn4c_branch2b/gamma:0 | (256,) | +0.5034 | +1.2173 | +0.1483 |
bn4c_branch2b/beta:0 | (256,) | -1.4417 | +0.5756 | +0.3369 |
bn4c_branch2b/moving_mean:0 | (256,) | -2.9200 | +1.5946 | +0.5483 |
bn4c_branch2b/moving_variance:0 | (256,) | +0.0281 | +1.2198 | +0.1510 |
res4c_branch2c/kernel:0 | (1, 1, 256, 1024) | -0.1328 | +0.1666 | +0.0108 |
res4c_branch2c/bias:0 | (1024,) | -0.0057 | +0.0144 | +0.0018 |
bn4c_branch2c/gamma:0 | (1024,) | +0.0043 | +2.2694 | +0.2649 |
bn4c_branch2c/beta:0 | (1024,) | -1.1019 | +0.7349 | +0.1791 |
bn4c_branch2c/moving_mean:0 | (1024,) | -0.3293 | +0.1280 | +0.0515 |
bn4c_branch2c/moving_variance:0 | (1024,) | +0.0001 | +0.0869 | +0.0065 |
res4d_branch2a/kernel:0 | (1, 1, 1024, 256) | -0.1169 | +0.1507 | +0.0104 |
res4d_branch2a/bias:0 | (256,) | -0.0010 | +0.0006 | +0.0003 |
bn4d_branch2a/gamma:0 | (256,) | +0.5686 | +1.4401 | +0.1488 |
bn4d_branch2a/beta:0 | (256,) | -1.3452 | +0.4773 | +0.3038 |
bn4d_branch2a/moving_mean:0 | (256,) | -2.9391 | +2.3041 | +0.8307 |
bn4d_branch2a/moving_variance:0 | (256,) | +0.2651 | +4.1963 | +0.5838 |
res4d_branch2b/kernel:0 | (3, 3, 256, 256) | -0.1036 | +0.0993 | +0.0088 |
res4d_branch2b/bias:0 | (256,) | -0.0035 | +0.0054 | +0.0014 |
bn4d_branch2b/gamma:0 | (256,) | +0.4286 | +1.5386 | +0.1594 |
bn4d_branch2b/beta:0 | (256,) | -1.4343 | +0.3851 | +0.2820 |
bn4d_branch2b/moving_mean:0 | (256,) | -1.1160 | +0.5873 | +0.2232 |
bn4d_branch2b/moving_variance:0 | (256,) | +0.0355 | +0.4098 | +0.0649 |
res4d_branch2c/kernel:0 | (1, 1, 256, 1024) | -0.2382 | +0.1296 | +0.0120 |
res4d_branch2c/bias:0 | (1024,) | -0.0070 | +0.0199 | +0.0023 |
bn4d_branch2c/gamma:0 | (1024,) | +0.0461 | +2.8471 | +0.3289 |
bn4d_branch2c/beta:0 | (1024,) | -1.3527 | +0.5924 | +0.2292 |
bn4d_branch2c/moving_mean:0 | (1024,) | -0.2602 | +0.0767 | +0.0430 |
bn4d_branch2c/moving_variance:0 | (1024,) | +0.0013 | +0.0854 | +0.0057 |
res4e_branch2a/kernel:0 | (1, 1, 1024, 256) | -0.1474 | +0.1154 | +0.0103 |
res4e_branch2a/bias:0 | (256,) | -0.0006 | +0.0009 | +0.0003 |
bn4e_branch2a/gamma:0 | (256,) | +0.6414 | +1.3680 | +0.1230 |
bn4e_branch2a/beta:0 | (256,) | -1.0867 | +0.3564 | +0.2688 |
bn4e_branch2a/moving_mean:0 | (256,) | -3.8987 | +1.4863 | +1.0202 |
bn4e_branch2a/moving_variance:0 | (256,) | +0.2908 | +4.1538 | +0.5407 |
res4e_branch2b/kernel:0 | (3, 3, 256, 256) | -0.0862 | +0.0939 | +0.0091 |
res4e_branch2b/bias:0 | (256,) | -0.0029 | +0.0051 | +0.0010 |
bn4e_branch2b/gamma:0 | (256,) | +0.5490 | +1.2861 | +0.1311 |
bn4e_branch2b/beta:0 | (256,) | -1.2790 | +0.2216 | +0.2528 |
bn4e_branch2b/moving_mean:0 | (256,) | -1.0716 | +0.6271 | +0.2514 |
bn4e_branch2b/moving_variance:0 | (256,) | +0.0388 | +0.5987 | +0.0750 |
res4e_branch2c/kernel:0 | (1, 1, 256, 1024) | -0.2014 | +0.1777 | +0.0121 |
res4e_branch2c/bias:0 | (1024,) | -0.0053 | +0.0107 | +0.0020 |
bn4e_branch2c/gamma:0 | (1024,) | +0.0251 | +1.7328 | +0.1828 |
bn4e_branch2c/beta:0 | (1024,) | -1.0507 | +0.4076 | +0.1765 |
bn4e_branch2c/moving_mean:0 | (1024,) | -0.2043 | +0.0873 | +0.0359 |
bn4e_branch2c/moving_variance:0 | (1024,) | +0.0007 | +0.0373 | +0.0033 |
res4f_branch2a/kernel:0 | (1, 1, 1024, 256) | -0.0860 | +0.1289 | +0.0106 |
res4f_branch2a/bias:0 | (256,) | -0.0006 | +0.0010 | +0.0003 |
bn4f_branch2a/gamma:0 | (256,) | +0.6962 | +1.3808 | +0.0996 |
bn4f_branch2a/beta:0 | (256,) | -1.1552 | +0.3890 | +0.2462 |
bn4f_branch2a/moving_mean:0 | (256,) | -4.3923 | +2.0997 | +1.0476 |
bn4f_branch2a/moving_variance:0 | (256,) | +0.3235 | +3.9428 | +0.6106 |
res4f_branch2b/kernel:0 | (3, 3, 256, 256) | -0.1023 | +0.1056 | +0.0097 |
res4f_branch2b/bias:0 | (256,) | -0.0038 | +0.0037 | +0.0010 |
bn4f_branch2b/gamma:0 | (256,) | +0.4326 | +1.2403 | +0.1092 |
bn4f_branch2b/beta:0 | (256,) | -1.4296 | +0.5155 | +0.2444 |
bn4f_branch2b/moving_mean:0 | (256,) | -1.6409 | +1.4733 | +0.3083 |
bn4f_branch2b/moving_variance:0 | (256,) | +0.0403 | +0.5428 | +0.0756 |
res4f_branch2c/kernel:0 | (1, 1, 256, 1024) | -0.1396 | +0.1322 | +0.0121 |
res4f_branch2c/bias:0 | (1024,) | -0.0073 | +0.0118 | +0.0025 |
bn4f_branch2c/gamma:0 | (1024,) | +0.1776 | +1.6173 | +0.1734 |
bn4f_branch2c/beta:0 | (1024,) | -0.9800 | +0.2974 | +0.1410 |
bn4f_branch2c/moving_mean:0 | (1024,) | -0.1488 | +0.0678 | +0.0309 |
bn4f_branch2c/moving_variance:0 | (1024,) | +0.0008 | +0.0160 | +0.0021 |
res4g_branch2a/kernel:0 | (1, 1, 1024, 256) | -0.1154 | +0.2504 | +0.0109 |
res4g_branch2a/bias:0 | (256,) | -0.0008 | +0.0007 | +0.0003 |
bn4g_branch2a/gamma:0 | (256,) | +0.6048 | +1.2029 | +0.1063 |
bn4g_branch2a/beta:0 | (256,) | -1.2676 | +0.2347 | +0.2817 |
bn4g_branch2a/moving_mean:0 | (256,) | -4.1649 | +1.3777 | +0.9897 |
bn4g_branch2a/moving_variance:0 | (256,) | +0.2755 | +3.4157 | +0.6010 |
res4g_branch2b/kernel:0 | (3, 3, 256, 256) | -0.1271 | +0.1231 | +0.0098 |
res4g_branch2b/bias:0 | (256,) | -0.0044 | +0.0032 | +0.0012 |
bn4g_branch2b/gamma:0 | (256,) | +0.4751 | +1.7336 | +0.1333 |
bn4g_branch2b/beta:0 | (256,) | -1.2614 | +0.1900 | +0.2693 |
bn4g_branch2b/moving_mean:0 | (256,) | -0.9138 | +0.8013 | +0.2403 |
bn4g_branch2b/moving_variance:0 | (256,) | +0.0337 | +0.5631 | +0.0711 |
res4g_branch2c/kernel:0 | (1, 1, 256, 1024) | -0.1536 | +0.2370 | +0.0120 |
res4g_branch2c/bias:0 | (1024,) | -0.0083 | +0.0083 | +0.0024 |
bn4g_branch2c/gamma:0 | (1024,) | +0.0907 | +1.8097 | +0.1972 |
bn4g_branch2c/beta:0 | (1024,) | -0.9016 | +0.2926 | +0.1411 |
bn4g_branch2c/moving_mean:0 | (1024,) | -0.1636 | +0.0711 | +0.0339 |
bn4g_branch2c/moving_variance:0 | (1024,) | +0.0009 | +0.0321 | +0.0033 |
res4h_branch2a/kernel:0 | (1, 1, 1024, 256) | -0.1293 | +0.1603 | +0.0118 |
res4h_branch2a/bias:0 | (256,) | -0.0009 | +0.0007 | +0.0003 |
bn4h_branch2a/gamma:0 | (256,) | +0.6202 | +1.2079 | +0.0980 |
bn4h_branch2a/beta:0 | (256,) | -1.4124 | +0.0712 | +0.2610 |
bn4h_branch2a/moving_mean:0 | (256,) | -3.4425 | +2.5030 | +0.8797 |
bn4h_branch2a/moving_variance:0 | (256,) | +0.3146 | +2.6701 | +0.4704 |
res4h_branch2b/kernel:0 | (3, 3, 256, 256) | -0.0999 | +0.1200 | +0.0103 |
res4h_branch2b/bias:0 | (256,) | -0.0056 | +0.0069 | +0.0016 |
bn4h_branch2b/gamma:0 | (256,) | +0.4724 | +1.4768 | +0.1470 |
bn4h_branch2b/beta:0 | (256,) | -1.5817 | +0.4324 | +0.2521 |
bn4h_branch2b/moving_mean:0 | (256,) | -0.6978 | +0.9014 | +0.1644 |
bn4h_branch2b/moving_variance:0 | (256,) | +0.0297 | +0.4195 | +0.0563 |
res4h_branch2c/kernel:0 | (1, 1, 256, 1024) | -0.1493 | +0.2391 | +0.0123 |
res4h_branch2c/bias:0 | (1024,) | -0.0071 | +0.0081 | +0.0024 |
bn4h_branch2c/gamma:0 | (1024,) | +0.0532 | +2.4672 | +0.2958 |
bn4h_branch2c/beta:0 | (1024,) | -0.7953 | +0.3313 | +0.1519 |
bn4h_branch2c/moving_mean:0 | (1024,) | -0.1890 | +0.1145 | +0.0347 |
bn4h_branch2c/moving_variance:0 | (1024,) | +0.0006 | +0.0432 | +0.0041 |
res4i_branch2a/kernel:0 | (1, 1, 1024, 256) | -0.1308 | +0.2974 | +0.0132 |
res4i_branch2a/bias:0 | (256,) | -0.0008 | +0.0009 | +0.0003 |
bn4i_branch2a/gamma:0 | (256,) | +0.3549 | +1.0498 | +0.1261 |
bn4i_branch2a/beta:0 | (256,) | -1.4706 | +0.4588 | +0.2771 |
bn4i_branch2a/moving_mean:0 | (256,) | -3.8994 | +2.5413 | +1.0756 |
bn4i_branch2a/moving_variance:0 | (256,) | +0.6003 | +6.0203 | +0.5194 |
res4i_branch2b/kernel:0 | (3, 3, 256, 256) | -0.1302 | +0.1541 | +0.0093 |
res4i_branch2b/bias:0 | (256,) | -0.0063 | +0.0112 | +0.0028 |
bn4i_branch2b/gamma:0 | (256,) | +0.5664 | +1.6229 | +0.1404 |
bn4i_branch2b/beta:0 | (256,) | -1.4855 | +0.4776 | +0.2638 |
bn4i_branch2b/moving_mean:0 | (256,) | -0.3930 | +0.1225 | +0.0744 |
bn4i_branch2b/moving_variance:0 | (256,) | +0.0113 | +0.0744 | +0.0117 |
res4i_branch2c/kernel:0 | (1, 1, 256, 1024) | -0.1554 | +0.1568 | +0.0120 |
res4i_branch2c/bias:0 | (1024,) | -0.0069 | +0.0131 | +0.0017 |
bn4i_branch2c/gamma:0 | (1024,) | +0.0400 | +2.1618 | +0.1852 |
bn4i_branch2c/beta:0 | (1024,) | -0.5914 | +0.7033 | +0.1253 |
bn4i_branch2c/moving_mean:0 | (1024,) | -0.3092 | +0.1096 | +0.0572 |
bn4i_branch2c/moving_variance:0 | (1024,) | +0.0007 | +0.0708 | +0.0049 |
res4j_branch2a/kernel:0 | (1, 1, 1024, 256) | -0.1264 | +0.1794 | +0.0126 |
res4j_branch2a/bias:0 | (256,) | -0.0010 | +0.0006 | +0.0003 |
bn4j_branch2a/gamma:0 | (256,) | +0.5069 | +1.2823 | +0.1149 |
bn4j_branch2a/beta:0 | (256,) | -1.9055 | +0.2154 | +0.2870 |
bn4j_branch2a/moving_mean:0 | (256,) | -4.5494 | +1.8513 | +0.9530 |
bn4j_branch2a/moving_variance:0 | (256,) | +0.5073 | +5.0598 | +0.4980 |
res4j_branch2b/kernel:0 | (3, 3, 256, 256) | -0.1036 | +0.2351 | +0.0103 |
res4j_branch2b/bias:0 | (256,) | -0.0067 | +0.0059 | +0.0020 |
bn4j_branch2b/gamma:0 | (256,) | +0.4131 | +1.4478 | +0.1323 |
bn4j_branch2b/beta:0 | (256,) | -1.9463 | +0.4984 | +0.2980 |
bn4j_branch2b/moving_mean:0 | (256,) | -0.7600 | +0.4444 | +0.1658 |
bn4j_branch2b/moving_variance:0 | (256,) | +0.0380 | +0.3044 | +0.0348 |
res4j_branch2c/kernel:0 | (1, 1, 256, 1024) | -0.1406 | +0.1723 | +0.0121 |
res4j_branch2c/bias:0 | (1024,) | -0.0062 | +0.0091 | +0.0025 |
bn4j_branch2c/gamma:0 | (1024,) | +0.0288 | +2.0876 | +0.1976 |
bn4j_branch2c/beta:0 | (1024,) | -0.8279 | +0.1712 | +0.1242 |
bn4j_branch2c/moving_mean:0 | (1024,) | -0.1671 | +0.0815 | +0.0318 |
bn4j_branch2c/moving_variance:0 | (1024,) | +0.0002 | +0.0240 | +0.0027 |
res4k_branch2a/kernel:0 | (1, 1, 1024, 256) | -0.1369 | +0.1895 | +0.0115 |
res4k_branch2a/bias:0 | (256,) | -0.0009 | +0.0007 | +0.0003 |
bn4k_branch2a/gamma:0 | (256,) | +0.5384 | +1.1987 | +0.1222 |
bn4k_branch2a/beta:0 | (256,) | -1.7274 | +0.3939 | +0.3094 |
bn4k_branch2a/moving_mean:0 | (256,) | -5.5573 | +2.2690 | +1.0985 |
bn4k_branch2a/moving_variance:0 | (256,) | +0.3051 | +3.5934 | +0.4903 |
res4k_branch2b/kernel:0 | (3, 3, 256, 256) | -0.0799 | +0.1296 | +0.0095 |
res4k_branch2b/bias:0 | (256,) | -0.0060 | +0.0041 | +0.0014 |
bn4k_branch2b/gamma:0 | (256,) | +0.4960 | +1.2266 | +0.1243 |
bn4k_branch2b/beta:0 | (256,) | -1.2792 | +0.2008 | +0.2593 |
bn4k_branch2b/moving_mean:0 | (256,) | -0.8575 | +1.2273 | +0.2591 |
bn4k_branch2b/moving_variance:0 | (256,) | +0.0168 | +0.3693 | +0.0569 |
res4k_branch2c/kernel:0 | (1, 1, 256, 1024) | -0.1247 | +0.2241 | +0.0114 |
res4k_branch2c/bias:0 | (1024,) | -0.0067 | +0.0081 | +0.0024 |
bn4k_branch2c/gamma:0 | (1024,) | +0.1148 | +1.9941 | +0.2081 |
bn4k_branch2c/beta:0 | (1024,) | -1.6103 | +0.1858 | +0.1599 |
bn4k_branch2c/moving_mean:0 | (1024,) | -0.1446 | +0.0679 | +0.0319 |
bn4k_branch2c/moving_variance:0 | (1024,) | +0.0010 | +0.0395 | +0.0042 |
res4l_branch2a/kernel:0 | (1, 1, 1024, 256) | -0.2041 | +0.1931 | +0.0135 |
res4l_branch2a/bias:0 | (256,) | -0.0011 | +0.0008 | +0.0003 |
bn4l_branch2a/gamma:0 | (256,) | +0.4169 | +1.5267 | +0.1211 |
bn4l_branch2a/beta:0 | (256,) | -1.8435 | +0.3071 | +0.2976 |
bn4l_branch2a/moving_mean:0 | (256,) | -4.0608 | +2.0131 | +1.0383 |
bn4l_branch2a/moving_variance:0 | (256,) | +0.5797 | +5.8934 | +0.5997 |
res4l_branch2b/kernel:0 | (3, 3, 256, 256) | -0.1075 | +0.1778 | +0.0101 |
res4l_branch2b/bias:0 | (256,) | -0.0089 | +0.0092 | +0.0025 |
bn4l_branch2b/gamma:0 | (256,) | +0.4045 | +1.3411 | +0.1290 |
bn4l_branch2b/beta:0 | (256,) | -1.4767 | +0.4854 | +0.2710 |
bn4l_branch2b/moving_mean:0 | (256,) | -0.3820 | +0.2590 | +0.0978 |
bn4l_branch2b/moving_variance:0 | (256,) | +0.0194 | +0.1928 | +0.0195 |
res4l_branch2c/kernel:0 | (1, 1, 256, 1024) | -0.1198 | +0.1714 | +0.0123 |
res4l_branch2c/bias:0 | (1024,) | -0.0098 | +0.0088 | +0.0023 |
bn4l_branch2c/gamma:0 | (1024,) | +0.0792 | +1.6725 | +0.1760 |
bn4l_branch2c/beta:0 | (1024,) | -1.0323 | +0.7015 | +0.1526 |
bn4l_branch2c/moving_mean:0 | (1024,) | -0.1346 | +0.0818 | +0.0317 |
bn4l_branch2c/moving_variance:0 | (1024,) | +0.0007 | +0.0367 | +0.0027 |
res4m_branch2a/kernel:0 | (1, 1, 1024, 256) | -0.0814 | +0.1539 | +0.0118 |
res4m_branch2a/bias:0 | (256,) | -0.0008 | +0.0006 | +0.0003 |
bn4m_branch2a/gamma:0 | (256,) | +0.5300 | +1.1776 | +0.0988 |
bn4m_branch2a/beta:0 | (256,) | -1.2997 | +0.3071 | +0.2241 |
bn4m_branch2a/moving_mean:0 | (256,) | -6.0726 | +1.2736 | +1.0509 |
bn4m_branch2a/moving_variance:0 | (256,) | +0.4134 | +5.9330 | +0.5904 |
res4m_branch2b/kernel:0 | (3, 3, 256, 256) | -0.1037 | +0.1375 | +0.0091 |
res4m_branch2b/bias:0 | (256,) | -0.0072 | +0.0071 | +0.0020 |
bn4m_branch2b/gamma:0 | (256,) | +0.5814 | +1.1881 | +0.1004 |
bn4m_branch2b/beta:0 | (256,) | -1.3691 | +0.1966 | +0.2357 |
bn4m_branch2b/moving_mean:0 | (256,) | -0.6768 | +0.5120 | +0.1552 |
bn4m_branch2b/moving_variance:0 | (256,) | +0.0234 | +0.3098 | +0.0412 |
res4m_branch2c/kernel:0 | (1, 1, 256, 1024) | -0.1469 | +0.1552 | +0.0113 |
res4m_branch2c/bias:0 | (1024,) | -0.0083 | +0.0104 | +0.0025 |
bn4m_branch2c/gamma:0 | (1024,) | +0.1858 | +1.7955 | +0.1699 |
bn4m_branch2c/beta:0 | (1024,) | -0.7632 | +0.5809 | +0.1474 |
bn4m_branch2c/moving_mean:0 | (1024,) | -0.1689 | +0.0692 | +0.0349 |
bn4m_branch2c/moving_variance:0 | (1024,) | +0.0007 | +0.0343 | +0.0037 |
res4n_branch2a/kernel:0 | (1, 1, 1024, 256) | -0.1217 | +0.1600 | +0.0128 |
res4n_branch2a/bias:0 | (256,) | -0.0012 | +0.0006 | +0.0003 |
bn4n_branch2a/gamma:0 | (256,) | +0.4676 | +1.0852 | +0.1114 |
bn4n_branch2a/beta:0 | (256,) | -1.2727 | +0.0440 | +0.2325 |
bn4n_branch2a/moving_mean:0 | (256,) | -3.7141 | +1.9744 | +0.9055 |
bn4n_branch2a/moving_variance:0 | (256,) | +0.4856 | +2.9867 | +0.3987 |
res4n_branch2b/kernel:0 | (3, 3, 256, 256) | -0.1221 | +0.1551 | +0.0089 |
res4n_branch2b/bias:0 | (256,) | -0.0099 | +0.0089 | +0.0028 |
bn4n_branch2b/gamma:0 | (256,) | +0.4873 | +1.1907 | +0.1089 |
bn4n_branch2b/beta:0 | (256,) | -1.0325 | +0.5976 | +0.2187 |
bn4n_branch2b/moving_mean:0 | (256,) | -0.3456 | +0.0662 | +0.0728 |
bn4n_branch2b/moving_variance:0 | (256,) | +0.0111 | +0.2385 | +0.0187 |
res4n_branch2c/kernel:0 | (1, 1, 256, 1024) | -0.0992 | +0.1609 | +0.0109 |
res4n_branch2c/bias:0 | (1024,) | -0.0078 | +0.0087 | +0.0021 |
bn4n_branch2c/gamma:0 | (1024,) | +0.1917 | +1.6763 | +0.1232 |
bn4n_branch2c/beta:0 | (1024,) | -0.7562 | +0.6426 | +0.1316 |
bn4n_branch2c/moving_mean:0 | (1024,) | -0.2036 | +0.1072 | +0.0411 |
bn4n_branch2c/moving_variance:0 | (1024,) | +0.0013 | +0.0381 | +0.0031 |
res4o_branch2a/kernel:0 | (1, 1, 1024, 256) | -0.0879 | +0.1375 | +0.0125 |
res4o_branch2a/bias:0 | (256,) | -0.0009 | +0.0009 | +0.0003 |
bn4o_branch2a/gamma:0 | (256,) | +0.4154 | +1.0786 | +0.1032 |
bn4o_branch2a/beta:0 | (256,) | -1.5070 | +0.1578 | +0.2357 |
bn4o_branch2a/moving_mean:0 | (256,) | -6.4399 | +2.0957 | +1.2424 |
bn4o_branch2a/moving_variance:0 | (256,) | +0.5261 | +5.2096 | +0.5908 |
res4o_branch2b/kernel:0 | (3, 3, 256, 256) | -0.0939 | +0.1264 | +0.0090 |
res4o_branch2b/bias:0 | (256,) | -0.0093 | +0.0069 | +0.0027 |
bn4o_branch2b/gamma:0 | (256,) | +0.5379 | +1.2134 | +0.1078 |
bn4o_branch2b/beta:0 | (256,) | -1.2517 | +0.4139 | +0.2248 |
bn4o_branch2b/moving_mean:0 | (256,) | -0.3864 | +0.3207 | +0.0934 |
bn4o_branch2b/moving_variance:0 | (256,) | +0.0164 | +0.1712 | +0.0202 |
res4o_branch2c/kernel:0 | (1, 1, 256, 1024) | -0.1602 | +0.1698 | +0.0111 |
res4o_branch2c/bias:0 | (1024,) | -0.0073 | +0.0096 | +0.0021 |
bn4o_branch2c/gamma:0 | (1024,) | +0.2356 | +1.9104 | +0.1531 |
bn4o_branch2c/beta:0 | (1024,) | -0.8014 | +0.5613 | +0.1387 |
bn4o_branch2c/moving_mean:0 | (1024,) | -0.2040 | +0.0855 | +0.0429 |
bn4o_branch2c/moving_variance:0 | (1024,) | +0.0009 | +0.0544 | +0.0049 |
res4p_branch2a/kernel:0 | (1, 1, 1024, 256) | -0.1453 | +0.2050 | +0.0138 |
res4p_branch2a/bias:0 | (256,) | -0.0008 | +0.0009 | +0.0003 |
bn4p_branch2a/gamma:0 | (256,) | +0.5041 | +1.0460 | +0.0900 |
bn4p_branch2a/beta:0 | (256,) | -1.4744 | +0.0466 | +0.2374 |
bn4p_branch2a/moving_mean:0 | (256,) | -3.5993 | +2.5332 | +1.0418 |
bn4p_branch2a/moving_variance:0 | (256,) | +0.6268 | +3.2764 | +0.5098 |
res4p_branch2b/kernel:0 | (3, 3, 256, 256) | -0.0963 | +0.1146 | +0.0102 |
res4p_branch2b/bias:0 | (256,) | -0.0117 | +0.0087 | +0.0026 |
bn4p_branch2b/gamma:0 | (256,) | +0.4508 | +1.3897 | +0.1299 |
bn4p_branch2b/beta:0 | (256,) | -1.4155 | +0.4056 | +0.2478 |
bn4p_branch2b/moving_mean:0 | (256,) | -0.2807 | +0.1532 | +0.0755 |
bn4p_branch2b/moving_variance:0 | (256,) | +0.0209 | +0.1309 | +0.0195 |
res4p_branch2c/kernel:0 | (1, 1, 256, 1024) | -0.1161 | +0.1738 | +0.0122 |
res4p_branch2c/bias:0 | (1024,) | -0.0087 | +0.0081 | +0.0020 |
bn4p_branch2c/gamma:0 | (1024,) | +0.1803 | +1.7117 | +0.1949 |
bn4p_branch2c/beta:0 | (1024,) | -1.0347 | +0.3854 | +0.1619 |
bn4p_branch2c/moving_mean:0 | (1024,) | -0.1642 | +0.0812 | +0.0336 |
bn4p_branch2c/moving_variance:0 | (1024,) | +0.0010 | +0.0413 | +0.0038 |
res4q_branch2a/kernel:0 | (1, 1, 1024, 256) | -0.1236 | +0.2559 | +0.0137 |
res4q_branch2a/bias:0 | (256,) | -0.0008 | +0.0012 | +0.0003 |
bn4q_branch2a/gamma:0 | (256,) | +0.3504 | +1.0037 | +0.1050 |
bn4q_branch2a/beta:0 | (256,) | -1.5841 | +0.3542 | +0.2878 |
bn4q_branch2a/moving_mean:0 | (256,) | -5.4757 | +2.7636 | +1.1594 |
bn4q_branch2a/moving_variance:0 | (256,) | +0.4812 | +10.5219 | +0.8778 |
res4q_branch2b/kernel:0 | (3, 3, 256, 256) | -0.1804 | +0.2048 | +0.0089 |
res4q_branch2b/bias:0 | (256,) | -0.0106 | +0.0080 | +0.0028 |
bn4q_branch2b/gamma:0 | (256,) | +0.6510 | +1.4631 | +0.1185 |
bn4q_branch2b/beta:0 | (256,) | -1.1869 | +0.3730 | +0.2479 |
bn4q_branch2b/moving_mean:0 | (256,) | -0.2944 | +0.1277 | +0.0664 |
bn4q_branch2b/moving_variance:0 | (256,) | +0.0110 | +0.0925 | +0.0102 |
res4q_branch2c/kernel:0 | (1, 1, 256, 1024) | -0.1754 | +0.1839 | +0.0118 |
res4q_branch2c/bias:0 | (1024,) | -0.0073 | +0.0053 | +0.0015 |
bn4q_branch2c/gamma:0 | (1024,) | +0.0368 | +2.1137 | +0.2127 |
bn4q_branch2c/beta:0 | (1024,) | -0.7801 | +0.3531 | +0.1493 |
bn4q_branch2c/moving_mean:0 | (1024,) | -0.3336 | +0.1393 | +0.0609 |
bn4q_branch2c/moving_variance:0 | (1024,) | +0.0006 | +0.0498 | +0.0058 |
res4r_branch2a/kernel:0 | (1, 1, 1024, 256) | -0.1730 | +0.2589 | +0.0137 |
res4r_branch2a/bias:0 | (256,) | -0.0009 | +0.0010 | +0.0003 |
bn4r_branch2a/gamma:0 | (256,) | +0.2862 | +0.9191 | +0.1058 |
bn4r_branch2a/beta:0 | (256,) | -1.3459 | +0.2720 | +0.2652 |
bn4r_branch2a/moving_mean:0 | (256,) | -2.5019 | +3.6722 | +1.0108 |
bn4r_branch2a/moving_variance:0 | (256,) | +0.6803 | +5.8562 | +0.5767 |
res4r_branch2b/kernel:0 | (3, 3, 256, 256) | -0.1322 | +0.1870 | +0.0086 |
res4r_branch2b/bias:0 | (256,) | -0.0092 | +0.0095 | +0.0031 |
bn4r_branch2b/gamma:0 | (256,) | +0.5149 | +1.4533 | +0.1367 |
bn4r_branch2b/beta:0 | (256,) | -0.9097 | +0.6818 | +0.2112 |
bn4r_branch2b/moving_mean:0 | (256,) | -0.2223 | +0.1066 | +0.0609 |
bn4r_branch2b/moving_variance:0 | (256,) | +0.0062 | +0.0611 | +0.0083 |
res4r_branch2c/kernel:0 | (1, 1, 256, 1024) | -0.0890 | +0.1848 | +0.0112 |
res4r_branch2c/bias:0 | (1024,) | -0.0115 | +0.0075 | +0.0017 |
bn4r_branch2c/gamma:0 | (1024,) | +0.1361 | +1.7486 | +0.1512 |
bn4r_branch2c/beta:0 | (1024,) | -0.7476 | +0.3266 | +0.1342 |
bn4r_branch2c/moving_mean:0 | (1024,) | -0.2405 | +0.1581 | +0.0556 |
bn4r_branch2c/moving_variance:0 | (1024,) | +0.0019 | +0.0666 | +0.0043 |
res4s_branch2a/kernel:0 | (1, 1, 1024, 256) | -0.1326 | +0.1900 | +0.0130 |
res4s_branch2a/bias:0 | (256,) | -0.0007 | +0.0008 | +0.0003 |
bn4s_branch2a/gamma:0 | (256,) | +0.3468 | +0.9720 | +0.1053 |
bn4s_branch2a/beta:0 | (256,) | -1.2850 | +0.5307 | +0.2683 |
bn4s_branch2a/moving_mean:0 | (256,) | -9.8440 | +2.2720 | +1.2494 |
bn4s_branch2a/moving_variance:0 | (256,) | +0.5810 | +17.3876 | +1.1579 |
res4s_branch2b/kernel:0 | (3, 3, 256, 256) | -0.2008 | +0.1875 | +0.0085 |
res4s_branch2b/bias:0 | (256,) | -0.0109 | +0.0088 | +0.0028 |
bn4s_branch2b/gamma:0 | (256,) | +0.5201 | +1.1966 | +0.1040 |
bn4s_branch2b/beta:0 | (256,) | -1.1253 | +0.3305 | +0.2241 |
bn4s_branch2b/moving_mean:0 | (256,) | -0.3961 | +0.1227 | +0.0815 |
bn4s_branch2b/moving_variance:0 | (256,) | +0.0097 | +0.0778 | +0.0102 |
res4s_branch2c/kernel:0 | (1, 1, 256, 1024) | -0.1133 | +0.1737 | +0.0112 |
res4s_branch2c/bias:0 | (1024,) | -0.0104 | +0.0076 | +0.0019 |
bn4s_branch2c/gamma:0 | (1024,) | +0.1482 | +1.7350 | +0.1424 |
bn4s_branch2c/beta:0 | (1024,) | -0.7700 | +0.4369 | +0.1229 |
bn4s_branch2c/moving_mean:0 | (1024,) | -0.1928 | +0.1375 | +0.0475 |
bn4s_branch2c/moving_variance:0 | (1024,) | +0.0015 | +0.0487 | +0.0035 |
res4t_branch2a/kernel:0 | (1, 1, 1024, 256) | -0.1664 | +0.1841 | +0.0131 |
res4t_branch2a/bias:0 | (256,) | -0.0013 | +0.0016 | +0.0004 |
bn4t_branch2a/gamma:0 | (256,) | +0.4422 | +1.2399 | +0.1050 |
bn4t_branch2a/beta:0 | (256,) | -1.1249 | +0.2680 | +0.2436 |
bn4t_branch2a/moving_mean:0 | (256,) | -6.2349 | +2.5628 | +1.3091 |
bn4t_branch2a/moving_variance:0 | (256,) | +0.4907 | +5.1029 | +0.5986 |
res4t_branch2b/kernel:0 | (3, 3, 256, 256) | -0.1324 | +0.1087 | +0.0094 |
res4t_branch2b/bias:0 | (256,) | -0.0096 | +0.0074 | +0.0024 |
bn4t_branch2b/gamma:0 | (256,) | +0.4694 | +1.2439 | +0.1069 |
bn4t_branch2b/beta:0 | (256,) | -1.1027 | +0.6878 | +0.2195 |
bn4t_branch2b/moving_mean:0 | (256,) | -0.6517 | +0.2553 | +0.1409 |
bn4t_branch2b/moving_variance:0 | (256,) | +0.0288 | +0.2597 | +0.0352 |
res4t_branch2c/kernel:0 | (1, 1, 256, 1024) | -0.1675 | +0.1682 | +0.0118 |
res4t_branch2c/bias:0 | (1024,) | -0.0144 | +0.0073 | +0.0019 |
bn4t_branch2c/gamma:0 | (1024,) | +0.2195 | +1.9902 | +0.1718 |
bn4t_branch2c/beta:0 | (1024,) | -0.7889 | +0.3014 | +0.1334 |
bn4t_branch2c/moving_mean:0 | (1024,) | -0.1941 | +0.1983 | +0.0427 |
bn4t_branch2c/moving_variance:0 | (1024,) | +0.0010 | +0.0383 | +0.0034 |
res4u_branch2a/kernel:0 | (1, 1, 1024, 256) | -0.1064 | +0.1593 | +0.0122 |
res4u_branch2a/bias:0 | (256,) | -0.0010 | +0.0009 | +0.0003 |
bn4u_branch2a/gamma:0 | (256,) | +0.2925 | +1.1103 | +0.1152 |
bn4u_branch2a/beta:0 | (256,) | -1.2993 | +0.5482 | +0.2517 |
bn4u_branch2a/moving_mean:0 | (256,) | -8.9484 | +3.0622 | +1.2511 |
bn4u_branch2a/moving_variance:0 | (256,) | +0.3403 | +10.5238 | +1.0425 |
res4u_branch2b/kernel:0 | (3, 3, 256, 256) | -0.1250 | +0.1247 | +0.0080 |
res4u_branch2b/bias:0 | (256,) | -0.0125 | +0.0058 | +0.0024 |
bn4u_branch2b/gamma:0 | (256,) | +0.6188 | +1.3505 | +0.1055 |
bn4u_branch2b/beta:0 | (256,) | -0.9702 | +0.4346 | +0.2031 |
bn4u_branch2b/moving_mean:0 | (256,) | -0.4856 | +0.3687 | +0.1192 |
bn4u_branch2b/moving_variance:0 | (256,) | +0.0157 | +0.1070 | +0.0150 |
res4u_branch2c/kernel:0 | (1, 1, 256, 1024) | -0.1426 | +0.2122 | +0.0106 |
res4u_branch2c/bias:0 | (1024,) | -0.0084 | +0.0064 | +0.0016 |
bn4u_branch2c/gamma:0 | (1024,) | +0.0975 | +1.7799 | +0.1396 |
bn4u_branch2c/beta:0 | (1024,) | -0.7753 | +0.6956 | +0.1624 |
bn4u_branch2c/moving_mean:0 | (1024,) | -0.2670 | +0.1501 | +0.0620 |
bn4u_branch2c/moving_variance:0 | (1024,) | +0.0017 | +0.0830 | +0.0062 |
res4v_branch2a/kernel:0 | (1, 1, 1024, 256) | -0.1540 | +0.2322 | +0.0125 |
res4v_branch2a/bias:0 | (256,) | -0.0011 | +0.0015 | +0.0003 |
bn4v_branch2a/gamma:0 | (256,) | +0.3923 | +1.0099 | +0.0927 |
bn4v_branch2a/beta:0 | (256,) | -1.2259 | +0.4520 | +0.2694 |
bn4v_branch2a/moving_mean:0 | (256,) | -5.8968 | +2.1904 | +1.1998 |
bn4v_branch2a/moving_variance:0 | (256,) | +0.5714 | +5.2581 | +0.6591 |
res4v_branch2b/kernel:0 | (3, 3, 256, 256) | -0.1413 | +0.1647 | +0.0085 |
res4v_branch2b/bias:0 | (256,) | -0.0130 | +0.0072 | +0.0022 |
bn4v_branch2b/gamma:0 | (256,) | +0.6167 | +1.1526 | +0.0908 |
bn4v_branch2b/beta:0 | (256,) | -1.0165 | +0.8713 | +0.1890 |
bn4v_branch2b/moving_mean:0 | (256,) | -0.4301 | +0.1983 | +0.1069 |
bn4v_branch2b/moving_variance:0 | (256,) | +0.0213 | +0.2294 | +0.0224 |
res4v_branch2c/kernel:0 | (1, 1, 256, 1024) | -0.1078 | +0.1724 | +0.0112 |
res4v_branch2c/bias:0 | (1024,) | -0.0045 | +0.0057 | +0.0016 |
bn4v_branch2c/gamma:0 | (1024,) | +0.2332 | +1.6640 | +0.1350 |
bn4v_branch2c/beta:0 | (1024,) | -0.9275 | +0.5133 | +0.1990 |
bn4v_branch2c/moving_mean:0 | (1024,) | -0.2657 | +0.2240 | +0.0562 |
bn4v_branch2c/moving_variance:0 | (1024,) | +0.0014 | +0.0536 | +0.0044 |
res4w_branch2a/kernel:0 | (1, 1, 1024, 256) | -0.1421 | +0.2230 | +0.0128 |
res4w_branch2a/bias:0 | (256,) | -0.0011 | +0.0017 | +0.0003 |
bn4w_branch2a/gamma:0 | (256,) | +0.2562 | +1.0847 | +0.1115 |
bn4w_branch2a/beta:0 | (256,) | -1.4639 | +0.3603 | +0.2947 |
bn4w_branch2a/moving_mean:0 | (256,) | -13.4450 | +3.0168 | +1.9482 |
bn4w_branch2a/moving_variance:0 | (256,) | +0.5124 | +13.2866 | +1.0325 |
res4w_branch2b/kernel:0 | (3, 3, 256, 256) | -0.1053 | +0.1691 | +0.0084 |
res4w_branch2b/bias:0 | (256,) | -0.0078 | +0.0080 | +0.0024 |
bn4w_branch2b/gamma:0 | (256,) | +0.7056 | +1.4043 | +0.0986 |
bn4w_branch2b/beta:0 | (256,) | -0.9674 | +0.3868 | +0.2011 |
bn4w_branch2b/moving_mean:0 | (256,) | -0.2898 | +0.2128 | +0.0745 |
bn4w_branch2b/moving_variance:0 | (256,) | +0.0105 | +0.1042 | +0.0124 |
res4w_branch2c/kernel:0 | (1, 1, 256, 1024) | -0.1479 | +0.1984 | +0.0111 |
res4w_branch2c/bias:0 | (1024,) | -0.0042 | +0.0050 | +0.0014 |
bn4w_branch2c/gamma:0 | (1024,) | +0.0221 | +1.5448 | +0.1517 |
bn4w_branch2c/beta:0 | (1024,) | -0.8512 | +0.5036 | +0.1815 |
bn4w_branch2c/moving_mean:0 | (1024,) | -0.3939 | +0.1908 | +0.1037 |
bn4w_branch2c/moving_variance:0 | (1024,) | +0.0007 | +0.1042 | +0.0077 |
res5a_branch2a/kernel:0 | (1, 1, 1024, 512) | -0.1763 | +0.2315 | +0.0143 |
res5a_branch2a/bias:0 | (512,) | -0.0014 | +0.0011 | +0.0003 |
bn5a_branch2a/gamma:0 | (512,) | +0.5024 | +1.2280 | +0.1224 |
bn5a_branch2a/beta:0 | (512,) | -1.4505 | +0.4926 | +0.3033 |
bn5a_branch2a/moving_mean:0 | (512,) | -13.2482 | +6.5317 | +1.7947 |
bn5a_branch2a/moving_variance:0 | (512,) | +0.8438 | +12.3391 | +1.0853 |
res5a_branch2b/kernel:0 | (3, 3, 512, 512) | -0.2433 | +0.3231 | +0.0091 |
res5a_branch2b/bias:0 | (512,) | -0.0018 | +0.0043 | +0.0008 |
bn5a_branch2b/gamma:0 | (512,) | +0.3045 | +1.4122 | +0.1359 |
bn5a_branch2b/beta:0 | (512,) | -1.6459 | +0.7115 | +0.3145 |
bn5a_branch2b/moving_mean:0 | (512,) | -1.7575 | +1.3904 | +0.2868 |
bn5a_branch2b/moving_variance:0 | (512,) | +0.0838 | +0.8812 | +0.0821 |
res5a_branch2c/kernel:0 | (1, 1, 512, 2048) | -0.2880 | +0.3244 | +0.0122 |
res5a_branch2c/bias:0 | (2048,) | -0.0106 | +0.0227 | +0.0013 |
res5a_branch1/kernel:0 | (1, 1, 1024, 2048) | -0.3702 | +0.4639 | +0.0105 |
res5a_branch1/bias:0 | (2048,) | -0.0008 | +0.0019 | +0.0002 |
bn5a_branch2c/gamma:0 | (2048,) | +0.6632 | +2.6859 | +0.2373 |
bn5a_branch2c/beta:0 | (2048,) | -1.8489 | +1.4639 | +0.2354 |
bn5a_branch2c/moving_mean:0 | (2048,) | -0.4234 | +0.5529 | +0.0570 |
bn5a_branch2c/moving_variance:0 | (2048,) | +0.0023 | +0.1430 | +0.0061 |
bn5a_branch1/gamma:0 | (2048,) | +0.8580 | +4.8497 | +0.5097 |
bn5a_branch1/beta:0 | (2048,) | -1.8488 | +1.4641 | +0.2354 |
bn5a_branch1/moving_mean:0 | (2048,) | -8.1453 | +5.4726 | +1.0711 |
bn5a_branch1/moving_variance:0 | (2048,) | +0.2737 | +5.2058 | +0.3888 |
res5b_branch2a/kernel:0 | (1, 1, 2048, 512) | -0.1497 | +0.2567 | +0.0107 |
res5b_branch2a/bias:0 | (512,) | -0.0015 | +0.0040 | +0.0004 |
bn5b_branch2a/gamma:0 | (512,) | +0.3823 | +1.1338 | +0.0958 |
bn5b_branch2a/beta:0 | (512,) | -1.1818 | +0.6068 | +0.1976 |
bn5b_branch2a/moving_mean:0 | (512,) | -3.0110 | +4.9119 | +0.5962 |
bn5b_branch2a/moving_variance:0 | (512,) | +0.5778 | +4.9932 | +0.4898 |
res5b_branch2b/kernel:0 | (3, 3, 512, 512) | -0.1338 | +0.2394 | +0.0079 |
res5b_branch2b/bias:0 | (512,) | -0.0105 | +0.0073 | +0.0013 |
bn5b_branch2b/gamma:0 | (512,) | +0.5321 | +1.1694 | +0.1049 |
bn5b_branch2b/beta:0 | (512,) | -1.8375 | +0.5450 | +0.2784 |
bn5b_branch2b/moving_mean:0 | (512,) | -1.2009 | +1.5489 | +0.2116 |
bn5b_branch2b/moving_variance:0 | (512,) | +0.0530 | +0.6918 | +0.0500 |
res5b_branch2c/kernel:0 | (1, 1, 512, 2048) | -0.1345 | +0.1962 | +0.0106 |
res5b_branch2c/bias:0 | (2048,) | -0.0181 | +0.0196 | +0.0018 |
bn5b_branch2c/gamma:0 | (2048,) | +0.5622 | +2.4065 | +0.2234 |
bn5b_branch2c/beta:0 | (2048,) | -2.3543 | +0.1656 | +0.2122 |
bn5b_branch2c/moving_mean:0 | (2048,) | -0.2994 | +0.9054 | +0.0436 |
bn5b_branch2c/moving_variance:0 | (2048,) | +0.0017 | +0.1444 | +0.0042 |
res5c_branch2a/kernel:0 | (1, 1, 2048, 512) | -0.1803 | +0.3580 | +0.0115 |
res5c_branch2a/bias:0 | (512,) | -0.0037 | +0.0055 | +0.0005 |
bn5c_branch2a/gamma:0 | (512,) | +0.1743 | +1.1331 | +0.0973 |
bn5c_branch2a/beta:0 | (512,) | -1.3940 | +0.9286 | +0.2532 |
bn5c_branch2a/moving_mean:0 | (512,) | -1.6788 | +4.0125 | +0.4136 |
bn5c_branch2a/moving_variance:0 | (512,) | +0.4097 | +6.2837 | +0.4842 |
res5c_branch2b/kernel:0 | (3, 3, 512, 512) | -0.0940 | +0.0945 | +0.0071 |
res5c_branch2b/bias:0 | (512,) | -0.0092 | +0.0111 | +0.0019 |
bn5c_branch2b/gamma:0 | (512,) | +0.4880 | +1.1432 | +0.0915 |
bn5c_branch2b/beta:0 | (512,) | -1.4251 | +0.3417 | +0.2747 |
bn5c_branch2b/moving_mean:0 | (512,) | -0.6788 | +0.0926 | +0.1057 |
bn5c_branch2b/moving_variance:0 | (512,) | +0.0341 | +0.2969 | +0.0293 |
res5c_branch2c/kernel:0 | (1, 1, 512, 2048) | -0.1305 | +0.1288 | +0.0103 |
res5c_branch2c/bias:0 | (2048,) | -0.0031 | +0.0070 | +0.0011 |
bn5c_branch2c/gamma:0 | (2048,) | +0.5999 | +2.5360 | +0.2191 |
bn5c_branch2c/beta:0 | (2048,) | -4.0101 | -0.6658 | +0.2211 |
bn5c_branch2c/moving_mean:0 | (2048,) | -0.2560 | +0.1848 | +0.0335 |
bn5c_branch2c/moving_variance:0 | (2048,) | +0.0021 | +0.0345 | +0.0027 |
fpn_c5p5/kernel:0 | (1, 1, 2048, 256) | -0.0698 | +0.0612 | +0.0080 |
fpn_c5p5/bias:0 | (256,) | -0.0151 | +0.0131 | +0.0053 |
fpn_c4p4/kernel:0 | (1, 1, 1024, 256) | -0.1171 | +0.0825 | +0.0101 |
fpn_c4p4/bias:0 | (256,) | -0.0048 | +0.0042 | +0.0015 |
fpn_c3p3/kernel:0 | (1, 1, 512, 256) | -0.0503 | +0.0576 | +0.0076 |
fpn_c3p3/bias:0 | (256,) | -0.0063 | +0.0057 | +0.0020 |
fpn_c2p2/kernel:0 | (1, 1, 256, 256) | -0.0369 | +0.0530 | +0.0064 |
fpn_c2p2/bias:0 | (256,) | -0.0055 | +0.0066 | +0.0021 |
fpn_p5/kernel:0 | (3, 3, 256, 256) | -0.0342 | +0.0395 | +0.0059 |
fpn_p5/bias:0 | (256,) | -0.0088 | +0.0081 | +0.0038 |
fpn_p2/kernel:0 | (3, 3, 256, 256) | -0.0303 | +0.0328 | +0.0055 |
fpn_p2/bias:0 | (256,) | -0.0070 | +0.0061 | +0.0023 |
fpn_p3/kernel:0 | (3, 3, 256, 256) | -0.0249 | +0.0276 | +0.0048 |
fpn_p3/bias:0 | (256,) | -0.0040 | +0.0042 | +0.0015 |
fpn_p4/kernel:0 | (3, 3, 256, 256) | -0.0271 | +0.0282 | +0.0051 |
fpn_p4/bias:0 | (256,) | -0.0040 | +0.0038 | +0.0017 |
rpn_conv_shared/kernel:0 | (3, 3, 256, 512) | -0.0372 | +0.0352 | +0.0027 |
rpn_conv_shared/bias:0 | (512,) | -0.0051 | +0.0073 | +0.0012 |
rpn_class_raw/kernel:0 | (1, 1, 512, 6) | -0.1395 | +0.1395 | +0.0170 |
rpn_class_raw/bias:0 | (6,) | -0.0246 | +0.0246 | +0.0160 |
rpn_bbox_pred/kernel:0 | (1, 1, 512, 12) | -0.1081 | +0.2667 | +0.0243 |
rpn_bbox_pred/bias:0 | (12,) | -0.0501 | +0.0699 | +0.0350 |
mrcnn_class_conv1/kernel:0 | (7, 7, 256, 1024) | -0.0272 | +0.0270 | +0.0033 |
mrcnn_class_conv1/bias:0 | (1024,) | -0.0016 | +0.0006 | +0.0003 |
mrcnn_class_bn1/gamma:0 | (1024,) | +0.9535 | +1.0464 | +0.0092 |
mrcnn_class_bn1/beta:0 | (1024,) | -0.0324 | +0.0055 | +0.0035 |
mrcnn_class_bn1/moving_mean:0 | (1024,) | -13.7297 | +4.7460 | +1.4822 |
mrcnn_class_bn1/moving_variance:0 | (1024,) | +1.6954 | +30.5685 | +2.7805 |
mrcnn_class_conv2/kernel:0 | (1, 1, 1024, 1024) | -0.0786 | +0.0455 | +0.0059 |
mrcnn_class_conv2/bias:0 | (1024,) | -0.0211 | +0.0283 | +0.0053 |
mrcnn_class_bn2/gamma:0 | (1024,) | +0.9774 | +1.0521 | +0.0101 |
mrcnn_class_bn2/beta:0 | (1024,) | -0.0148 | +0.0292 | +0.0044 |
mrcnn_class_bn2/moving_mean:0 | (1024,) | -0.7209 | +0.9867 | +0.1617 |
mrcnn_class_bn2/moving_variance:0 | (1024,) | +0.0094 | +0.3570 | +0.0415 |
mrcnn_class_logits/kernel:0 | (1024, 2) | -0.0838 | +0.0804 | +0.0447 |
mrcnn_class_logits/bias:0 | (2,) | -0.0015 | +0.0015 | +0.0015 |
mrcnn_bbox_fc/kernel:0 | (1024, 8) | -0.0771 | +0.0785 | +0.0431 |
mrcnn_bbox_fc/bias:0 | (8,) | -0.0008 | +0.0008 | +0.0005 |
mrcnn_mask_conv1/kernel:0 | (3, 3, 256, 256) | -0.0707 | +0.0604 | +0.0050 |
mrcnn_mask_conv1/bias:0 | (256,) | -0.0035 | +0.0033 | +0.0010 |
mrcnn_mask_bn1/gamma:0 | (256,) | +0.9732 | +1.1352 | +0.0177 |
mrcnn_mask_bn1/beta:0 | (256,) | -0.0205 | +0.0022 | +0.0036 |
mrcnn_mask_bn1/moving_mean:0 | (256,) | -2.4143 | +1.1433 | +0.5678 |
mrcnn_mask_bn1/moving_variance:0 | (256,) | +0.6905 | +4.3261 | +0.5650 |
mrcnn_mask_conv2/kernel:0 | (3, 3, 256, 256) | -0.0778 | +0.1485 | +0.0050 |
mrcnn_mask_conv2/bias:0 | (256,) | -0.0070 | +0.0068 | +0.0024 |
mrcnn_mask_bn2/gamma:0 | (256,) | +0.9763 | +1.0492 | +0.0119 |
mrcnn_mask_bn2/beta:0 | (256,) | -0.0183 | +0.0021 | +0.0035 |
mrcnn_mask_bn2/moving_mean:0 | (256,) | -0.6003 | +0.1184 | +0.1236 |
mrcnn_mask_bn2/moving_variance:0 | (256,) | +0.0437 | +0.4538 | +0.0551 |
mrcnn_mask_conv3/kernel:0 | (3, 3, 256, 256) | -0.0546 | +0.0590 | +0.0048 |
mrcnn_mask_conv3/bias:0 | (256,) | -0.0118 | +0.0100 | +0.0038 |
mrcnn_mask_bn3/gamma:0 | (256,) | +0.9797 | +1.0432 | +0.0100 |
mrcnn_mask_bn3/beta:0 | (256,) | -0.0306 | +0.0013 | +0.0046 |
mrcnn_mask_bn3/moving_mean:0 | (256,) | -0.5812 | +0.2401 | +0.1452 |
mrcnn_mask_bn3/moving_variance:0 | (256,) | +0.0137 | +0.3976 | +0.0564 |
mrcnn_mask_conv4/kernel:0 | (3, 3, 256, 256) | -0.0422 | +0.0372 | +0.0043 |
mrcnn_mask_conv4/bias:0 | (256,) | -0.0019 | +0.0050 | +0.0010 |
mrcnn_mask_bn4/gamma:0 | (256,) | +0.9908 | +1.0764 | +0.0210 |
mrcnn_mask_bn4/beta:0 | (256,) | +0.0045 | +0.0464 | +0.0113 |
mrcnn_mask_bn4/moving_mean:0 | (256,) | -0.1459 | +0.6716 | +0.1304 |
mrcnn_mask_bn4/moving_variance:0 | (256,) | +0.0331 | +0.2902 | +0.0494 |
mrcnn_mask_deconv/kernel:0 | (2, 2, 256, 256) | -0.0395 | +0.0655 | +0.0057 |
mrcnn_mask_deconv/bias:0 | (256,) | -0.0026 | +0.0756 | +0.0112 |
mrcnn_mask/kernel:0 | (1, 1, 256, 2) | -0.1809 | +0.1734 | +0.0900 |
mrcnn_mask/bias:0 | (2,) | +0.0000 | +0.0168 | +0.0084 |
TODO: cleanup this part
# Pick layer types to display
LAYER_TYPES = ['Conv2D', 'Dense', 'Conv2DTranspose']
# Get layers
layers = model.get_trainable_layers()
layers = list(filter(lambda l: l.__class__.__name__ in LAYER_TYPES,
layers))
# Display Histograms
fig, ax = plt.subplots(len(layers), 2, figsize=(10, 3*len(layers)),
gridspec_kw={"hspace":1})
for l, layer in enumerate(layers):
weights = layer.get_weights()
for w, weight in enumerate(weights):
tensor = layer.weights[w]
ax[l, w].set_title(tensor.name)
_ = ax[l, w].hist(weight[w].flatten(), 50)